#Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries => Get it at http://
amzn.to/3WrBmZf [700+ page book from @NoStarch Press]
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#Coding #BigData #DataScience #DataScientist #ComputationalScience #MachineLearning #AI
SOFTWARE
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Python Tools for Scientists: Anaconda, JupyterLab, and Scientific Libraries Guide
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Mosaic AI Launches Serverless Time Series Forecasting
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Introducing Serverless Time Series Forecasting in Mosaic AI! Unlock the predictive power of your time series data with 50% better accuracy, enhanced flexibility, and improved governance. https://
dbricks.co/3Vv3uNK -
ChatGPT Projects: tutorial to organize your chats
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We've been waiting for this for a long time on #ChatGPT. Here is ChatGPT Projects, a feature to organize your chats and more! I tell you everything in my complete tutorial here → https://youtu.be/PC396DJum64
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Modern Computer Vision with PyTorch Deep Learning Second Edition Released
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2nd Edition, 746 pages, massive! Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: http://
amzn.to/3xAkB7X v/ @PacktPublishing ————
#DataScience #MachineLearning #AI #ML #GenAI #DataScientist -
Pretraining Vision and Large Language Models in Python on AWS
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Pretrain Vision and #LLMs (Large Language Models) in #Python — Techniques for building & deploying foundation models on #AWS: http://
amzn.to/3pT9seD v/ @PacktPublishing ————
#AI #MachineLearning #DeepLearning #MLOps #BigData #DataScience #NLProc #ComputerVision #DataScientist -
Grok API Enterprise Launch with Improved Models and Pricing
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API access A month ago, we launched the public beta of our enterprise API with grok-beta and grok-vision-beta. We’re adding grok-2-1212 and grok-2-vision-1212, offering better accuracy, instruction-following, and multilingual capabilities. Pricing is now $2/1M input tokens and
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SCHED_FIFO Linux Scheduling vs CUDA Stream Priorities
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I love SCHED_FIFO on Linux not being wish-washy about scheduling — if a higher priority can run, it preempts anything lower Right Now, and it won’t stop until it yields, or something even higher takes it. CUDA stream priorities are more like traditional OS priority hints. Better
